scholarly journals Does China’s Low-Carbon Pilot Policy Promote Foreign Direct Investment? An Empirical Study Based on City-Level Panel Data of China

2021 ◽  
Vol 13 (19) ◽  
pp. 10848
Author(s):  
Chang Zhao ◽  
Bing Wang
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Individual Characteristics ◽  
Low Carbon ◽  
Difference In Difference ◽  
Promotion Effect ◽  
Policy Effect ◽  
The Difference ◽  
The Individual

As an important driving force of China’s economic growth, foreign direct investment (FDI) may be affected by China’s low-carbon pilot policy. Therefore, this paper regards the low-carbon pilot policy as a quasi-natural experiment, and uses the difference-in-difference (DID) model and the panel data of 189 cities in China from 2011 to 2018 to explore the actual impact and intermediary mechanism of low-carbon pilot policy on FDI. The study found that low-carbon pilot policy has a significant promotion effect on FDI, and industrial optimization and upgrading is an important way. At the same time, we construct the difference-in-difference-in-difference (DDD) model, and discuss the heterogeneity of policy effect caused by resource endowments and the individual characteristics of government officials in the process of policy implementation. The results indicate that resource-rich cities can enhance the promotion effect of low-carbon pilot policy on FDI. Similarly, when the mayor of the pilot city is a female, or obtains a master’s degree or a doctorate degree, or majored in non-economics, respectively, the policy effect will be more obvious. In addition, in order to verify the reliability of the research conclusions, this paper also uses a placebo test and data truncation to conduct a series of robustness tests.

DETERMINAN PENANAMAN MODAL ASING LANGSUNG DI ASEAN

2012 ◽  
Vol 7 (1) ◽  
pp. 75
Author(s):  
Joko Susanto
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Data Model ◽  
Direct Investment ◽  
Multinational Enterprises ◽  
Statistical Data ◽  
Regression Equation ◽  
Panel Data Model ◽  
Market Size ◽  
Research Analysis

This research analysis the factors’ that determine the foreign directinvestment (FDI) in ASEAN’s countries especially Indonesia, Malaysia, Philippine and Thailand during 1990-2009. Multinational Enterprises’ (MNE) must decideto choose a locationfor relocating its’ factory by market seeking dan resources seeking strategy. Based on this statement, it can be obtained the regression equation with foreign direct investment is a function of market size, worker’s productivity and infrastructure of road. Statistical data of UNESCAP was used in this research. The regression was base on the panel data model, while the estimation was based on common effects model. This results showthat the market size, worker’s productivity and availability of infrastructure road could be an importance consideration for MNE’s in their choice for FDI.Keywords: foreign direct investment, market size, worker’s productivity, infrastructure of road

scholarly journals Allocation of foreign direct investment across brazilian states

2013 ◽  
Vol 43 (2) ◽  
pp. 241-269 ◽  
Author(s):  
Maurício Mesquita Bortoluzzo ◽  
Sergio Naruhiko Sakurai ◽  
Adriana Bruscato Bortoluzzo
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Foreign Investment ◽  
Direct Investment ◽  
Transport Infrastructure ◽  
Market Size ◽  
Consumer Market ◽  
Determining Factors ◽  
Econometric Study

Foreign direct investment (FDI) has become increasingly important for the Brazilian economy: the ratio of FDI inflow to the country's gross domestic product (GDP) increased from a 0.6% average in the 1980's to 2.5% from 2001 to 2010, according to data from UNCTAD. However, there is great inequality in the distribution of this investment among Brazilian federation units. This study aims at investigating the determining factors for the location of foreign direct investment across Brazilian states, based on an econometric study with panel data for the years 1995, 2000 and 2005. The results showed that foreign investment responded positively to consumer market size, quality of labor and transport infrastructure, but negatively to cost of labor and tax burden.

scholarly journals Impact of foreign direct investment, remittances and official development assistance on economic growth: panel data approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amna Zardoub ◽  
Faouzi Sboui
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Development Assistance ◽  
Business Environment ◽  
Official Development Assistance ◽  
Financial Flows ◽  
Content Type

PurposeGlobalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – FDI, remittances and official development assistance – can be a key factor in the development of the economy. The subject of this article is to analyses the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been employed. As part of this work, an attempt was made to use a panel data approach. The results indicate ambiguous effects and confirm the results of previous work.Design/methodology/approachThe authors seek to study the effect of foreign direct investment, remittances and official development assistance (ODA) and some control variables i.e. domestic credit, life expectancy, gross fixed capital formation (GFCF), inflation and three institutional factors on economic growth in developing countries by adopting the panel data methodology. Then, the authors will discuss empirical tests to assess the econometric relevance of the model specification before presenting the analysis of the results and their interpretations that lead to economic policy implications. As part of this work, the authors have rolled panel data for developing countries at an annual frequency during the period from 1990 to 2016. In a first stage of empirical analysis, the authors will carry out a technical study of the heterogeneity test of the individual fixed effects of the countries. This kind of analysis makes it possible to identify the problems retained in the specific choice of econometric modeling to be undertaken in the specificities of the panel data.FindingsThe empirical results validate the hypotheses put forward and indicate the evidence of an ambiguous effect of financial flows on economic growth. The empirical findings from this analysis suggest the use of economic-type solutions to resolve some of the shortcomings encountered in terms of unexpected effects. Governments in these countries should improve the business environment by establishing a framework that further encourages domestic and foreign investment.Originality/valueIn this article, the authors adopt the panel data to study the links between financial flows and economic growth. The authors considered four groups of countries by income.

Foreign Direct Investment and Growth Symbiosis: A Semiparametric System of Simultaneous Equations Analysis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Nadine McCloud ◽  
Michael S. Delgado ◽  
Subal C. Kumbhakar
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Developing Economies ◽  
Institutional Quality ◽  
Simultaneous Equations ◽  
Asymptotically Normal ◽  
Methodological Tool

AbstractWe characterize the types of interactions between foreign direct investment (FDI) and economic growth, and analyze the effect of institutional quality on such interactions. To do this analysis, we develop a class of instrument-based semiparametric system of simultaneous equations estimators for panel data and prove that our estimators are consistent and asymptotically normal. Our new methodological tool suggests that across developed and developing economies, causal, heterogeneous symbiosis and commensalism are the most dominant types of interactions between FDI and economic growth. Higher institutional quality facilitates, impedes or has no effect on the interactions between FDI and economic growth.

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